Upol Ehsan

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 5 papers; trusts 59 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Upol Ehsan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Dzmitry Bahdanau
  2. Tim Miller
  3. William W. Gaver
  4. Ned Block
  5. Thang Luong
  6. Yoshua Bengio
  7. Brent Harrison
  8. Kyunghyun Cho
  9. Zachary Chase Lipton
  10. Geoffrey E. Hinton

Who trusts Upol Ehsan overall

  1. Q. Liao
  2. Sarah Wiegreffe
  3. Mark O. Riedl
  4. Ramitha Sundar
  5. Sarthak Jain
  6. Ana Marasovic
  7. Dheeraj Rajagopal
  8. Microsoft Research
  9. Helena Vasconcelos
  10. Chenhao Tan

Papers from Upol Ehsan's perspective

Ordered by how strongly the researchers Upol Ehsan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers